[visionlist] Disguised Faces in the Wild at CVPR 2018

Mayank Vatsa mayank at iiitd.ac.in
Mon Dec 25 13:05:54 -05 2017


1st International Workshop and Competition on Disguised Faces in the
Wild at CVPR 2018

With recent advancements in deep learning, the capabilities of automatic
face recognition has been significantly increased. However, face
recognition in unconstrained environment with non-cooperative users is
still a research challenge, pertinent for users such as law enforcement
agencies. While several covariates such as pose, expression, illumination,
aging, and low resolution have received significant attention, “disguise”
is still considered an arduous covariate of face recognition. As shown in
the figure below, disguise as a covariate involves both intentional and
unintentional changes on a face through which one can either obfuscate
his/her identity or impersonate someone else’s identity. The problem can be
further exacerbated due to unconstrained environment or “in the wild”
scenarios. However, disguise in the wild has not been studied in a
comprehensive way, primarily due to unavailability of such as database. As
part of this workshop, we will conduct a competition in which participants
will be asked to show their results on the proposed disguised faces in the
wild (DFW) database. Top performing algorithms will be asked to submit
their papers in the workshop and selected papers will be invited for
presentation. We will also allow other paper submissions, even if the
authors have not participated in the competition.

We invite researchers to participate in the “Disguised faces in the wild”
competition and submit their research papers in the workshop. The scope of
the workshop is:

- Face recognition with disguise variations
- Methods for impersonating identities using disguise
- Methods for detecting disguise variations
- Face recognition with makeup variations
- Recognizing partially occluded faces

ORGANIZERS

General Chairs: Rama Chellappa
Program Chairs: Nalini Ratha and Mayank Vatsa
Data and Competition Evaluation Chair: Richa Singh


--
Mayank Vatsa, PhD
Vice President (Publications), IEEE Biometrics Council
Head, Infosys Center for Artificial Intelligence
Associate Professor, IIIT-Delhi, India
Adjunct Associate Professor, West Virginia University, USA
http://iab-rubric.org/
http://cai.iiitd.ac.in/
http://ieee-biometrics.org/
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